pytorch-functional 0.2.13

Provides functional API for model creation in PyTorch.

Pytorch Functional

Pytorch Functional is a MIT licensed library that adds functional API for model creation to PyTorch.

Defining complex models in PyTorch requires creating classes. Defining models in tensorflow is easier. This makes it just as easy in PyTorch.

Features:

• Small extension to PyTorch
• No dependencies besides PyTorch
• Produces models entirely compatible with PyTorch
• Reduces the amount of code that you need to write
• Works well with complex architectures
• Adds no overhead

Example

>>> from torch import nn
>>> from pytorch_functional import Input, FunctionalModel
>>> inputs = Input(shape=(1, 28, 28))
>>> x = inputs(nn.Flatten())(nn.ReLU())
>>> outputs = x(nn.Linear(x.shape[1], 10))
>>> model = FunctionalModel(inputs, outputs)
>>> model
FunctionalModel(
  (module000_depth001): Flatten(start_dim=1, end_dim=-1)
  (module001_depth002): ReLU()
  (module002_depth003): Linear(in_features=784, out_features=10, bias=True)
)

See more examples in Quick Start.

Installation

Install easily with pip:

pip install pytorch-functional

Links

• See Documentation
• See on GitHub
• See on PyPI